Papers › Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja

Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja

25 Aug 2019IJCNLP 2019 11arXiv:1908.09282archive 2025-07-28

Kang Min Yoo, Taeuk Kim, Sang-goo Lee

We propose a simple yet effective approach for improving Korean word representations using additional linguistic annotation (i.e. Hanja). We employ cross-lingual transfer learning in training word representations by leveraging the fact that Hanja is closely related to Chinese. We evaluate the intrinsic quality of representations learned through our approach using the word analogy and similarity tests. In addition, we demonstrate their effectiveness on several downstream tasks, including a novel Korean news headline generation task.

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kaniblu/hanja-sisg officialmentioned in papermentioned on GitHub report
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Cross-Lingual TransferHeadline GenerationTransfer Learning

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